metadata
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: L03
results: []
L03
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9015
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 5 | 1.6499 |
| 1.5912 | 2.0 | 10 | 1.1551 |
| 1.5912 | 3.0 | 15 | 0.9536 |
| 0.8901 | 4.0 | 20 | 0.9258 |
| 0.8901 | 5.0 | 25 | 0.9126 |
| 0.8024 | 6.0 | 30 | 0.9064 |
| 0.8024 | 7.0 | 35 | 0.9020 |
| 0.783 | 8.0 | 40 | 0.9015 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3